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CLIQ-BID:一种通过对明亮细胞核进行自动化活体成像来定量细菌对真核细胞损伤的方法。

CLIQ-BID: A method to quantify bacteria-induced damage to eukaryotic cells by automated live-imaging of bright nuclei.

机构信息

UGA, CEA, INSERM, CNRS, Bacterial Pathogenesis and Cellular Responses, Biosciences and Biotechnology Institute of Grenoble, Grenoble, France.

UGA, CEA, INSERM; Genetics & Chemogenomics, CMBA Platform, Biosciences and Biotechnology Institute of Grenoble, Grenoble, France.

出版信息

Sci Rep. 2018 Jan 8;8(1):5. doi: 10.1038/s41598-017-18501-9.

Abstract

Pathogenic bacteria induce eukaryotic cell damage which range from discrete modifications of signalling pathways, to morphological alterations and even to cell death. Accurate quantitative detection of these events is necessary for studying host-pathogen interactions and for developing strategies to protect host organisms from bacterial infections. Investigation of morphological changes is cumbersome and not adapted to high-throughput and kinetics measurements. Here, we describe a simple and cost-effective method based on automated analysis of live cells with stained nuclei, which allows real-time quantification of bacteria-induced eukaryotic cell damage at single-cell resolution. We demonstrate that this automated high-throughput microscopy approach permits screening of libraries composed of interference-RNA, bacterial strains, antibodies and chemical compounds in ex vivo infection settings. The use of fluorescently-labelled bacteria enables the concomitant detection of changes in bacterial growth. Using this method named CLIQ-BID (Cell Live Imaging Quantification of Bacteria Induced Damage), we were able to distinguish the virulence profiles of different pathogenic bacterial species and clinical strains.

摘要

致病细菌会导致真核细胞损伤,其范围从信号通路的离散修饰,到形态改变,甚至细胞死亡。准确地定量检测这些事件对于研究宿主-病原体相互作用以及开发保护宿主生物体免受细菌感染的策略是必要的。形态变化的研究很繁琐,不适合高通量和动力学测量。在这里,我们描述了一种基于用染色核自动分析活细胞的简单且具有成本效益的方法,该方法允许以单细胞分辨率实时定量细菌诱导的真核细胞损伤。我们证明,这种自动化高通量显微镜方法可用于筛选体外感染环境中由干扰 RNA、细菌株、抗体和化学化合物组成的文库。荧光标记细菌的使用可同时检测细菌生长的变化。使用这种名为 CLIQ-BID(细菌诱导损伤的细胞实时成像定量)的方法,我们能够区分不同致病性细菌物种和临床株的毒力特征。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec5b/5758606/50ff0ac4afcd/41598_2017_18501_Fig1_HTML.jpg

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